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claude-api

Configure Claude API integrations with prompt caching and extended thinking.

Updated Apr 15, 2026
Search Tags:#tool-use#claude-api#batch-processing#prompt-caching#extended-thinking#anthropic-sdk#auto-compaction
One-click install
npx skills add https://github.com/sheehe/coase --skill claude-api-sheehe
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: claude-api
Source: https://github.com/sheehe/coase/tree/main/resources/plugins/coase-builtin/skills/claude-api
Command: npx skills add https://github.com/sheehe/coase --skill claude-api-sheehe

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides best practices for building, debugging, and optimizing Claude API and Anthropic SDK applications, including prompt caching, extended thinking, and auto-compaction.

Core Features & Use Cases

  • Prompt caching reduces cost and latency for Claude API calls
  • Extended thinking, tool usage patterns, and batch processing enable robust, scalable workflows
  • Auto-compaction helps manage long-running agent sessions and large dialogue histories
  • Model configuration and tool integration support production-grade Claude-based applications

Quick Start

Set up a Claude API client with caching and tool usage patterns, then run a sample workflow to validate prompt and cost optimizations.

Frequently Asked Questions about claude-api

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement prompt caching with the Claude API to reduce latency?▼

Prompt caching reduces cost and latency for Claude API calls by reusing processed context. You can implement it using the Anthropic SDK to cache large dialogue histories or system prompts, optimizing token usage across repeated requests.

What is the best way to handle long-running agent sessions with the Anthropic SDK?▼

Auto-compaction helps manage long-running agent sessions and large dialogue histories within the Anthropic SDK. It automatically condenses context to maintain performance and prevent token limit overflows during extended Claude API workflows.

How do I set up batch processing for Claude API applications?▼

Batch processing enables robust, scalable workflows for Claude API applications. You can configure the Anthropic SDK to execute deterministic tasks in bulk, validating prompt and cost optimizations across multiple API calls simultaneously.

Does the Claude API support extended thinking and tool usage patterns together?▼

Yes, extended thinking and tool usage patterns work together to enable robust Claude API workflows. The Anthropic SDK supports model configuration and tool integration, allowing complex reasoning and deterministic task execution within production-grade applications.

Why does my Claude API integration have high latency and cost?▼

High latency and cost often occur when Claude API calls repeatedly process identical context. Implementing prompt caching via the Anthropic SDK mitigates this by storing and reusing processed prefixes, significantly reducing both token expenditure and response times.

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